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Field
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rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and
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on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
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to lung inflammation and fibrosis. The student will combine structural biology, protein biochemistry, cell biology, and immunology to assess how these processes influence immune signaling proteins and their
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electrode structures. • Prototyping of the identified structures via stereolithographic 3D printing and advanced textile techniques. • Development of advanced imaging and characterization technologies (X-ray
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: • Image processing and sensor data analysis, ideally with HSI or other imaging technologies. • Machine learning and artificial intelligence, especially classification and segmentation tasks. • High
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interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as those obtained in
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Join us to create new smart molecules for imaging of complex mechanics. Job description Soft matter such as polymers and hydrogels are incredibly versatile materials. Their use in metamaterials and
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in situ cells, which can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components
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can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components of the battery using e.g. in
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specialized software for image processing and modelling. Additionally, the candidate should demonstrate an ability to work collaboratively within a research team, as well as effectively communicate